Masayuki Kawanami
Papers
2
Total Citations
4
H-Index
2
About
Masayuki Kawanami is a robotics and computer vision researcher whose work focuses on intelligent object tracking systems that integrate robotic manipulation with dynamic camera control. His research centers on developing sophisticated multi-camera tracking architectures, particularly systems that combine pan-tilt camera arrays with robotic arms to achieve robust, real-time object detection and localization in three-dimensional space. Kawanami's most notable contributions include pioneering work on hybrid tracking frameworks that merge particle filter algorithms with sparse template matching techniques. His 2010 study introduced an innovative object tracking system leveraging two pan-tilt cameras alongside a robotic arm, enabling high-speed, wide-range tracking capabilities that address the fundamental challenge of rapidly moving targets. Building on this foundation, his 2011 follow-up advanced the methodology by incorporating 3D positional estimation, allowing systems to capture changing object positions and orientations with greater precision and reliability. While Kawanami's citation counts remain modest — with his key papers each accumulating 2 citations — his research addresses genuinely complex problems at the intersection of computer vision, probabilistic inference, and robotic control. His work contributes meaningful groundwork for researchers developing autonomous robotic systems requiring adaptive, real-world object tracking in unstructured environments, making it a valuable reference for students exploring intelligent robotics and visual servoing applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2